Evidence map›Paper›PMID 40676656›Full record

ArticleBMC psychology2025

Depressive symptoms and internet use among middle-aged and older adults pre- and post-COVID-19 outbreak: a network analysis.

Yuanyuan Wu, Meng Cai, Chang Yu

Abstract read
In one paragraph

Article in BMC psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Yuanyuan WuSchool of Humanities and Social Science, Xi'an Jiaotong University, 28 Xianning West Rd., Beilin District, Xi'an, Shaanxi, 710049, P.R. China.
Meng CaiSchool of Humanities and Social Science, Xi'an Jiaotong University, 28 Xianning West Rd., Beilin District, Xi'an, Shaanxi, 710049, P.R. China. mengcai@mail.xjtu.edu.cn.
Chang YuDepartment of Sociology and Criminology, University at Buffalo, State University of New York, Buffalo, NY, USA.

Funding

National Social Science Fund of China 22BSH109
6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic exacerbates the effects of social isolation on the mental health of middle-aged and older adults. This study aimed to explore the network structures of depressive symptoms among Chinese middle-aged and older adults before and after the COVID-19 outbreak and investigate their associations with Internet use.

methodsTwo cross-sectional datasets were obtained from the 2018 and 2020 waves of the China Health and Retirement Longitudinal Study (CHARLS). Depressive symptoms and Internet use were assessed using the Center for Epidemiological Studies-Depression Scale (CES-D) and self-reported Internet use. Network analysis was conducted to identify central symptoms and differences between the two networks and their associations with Internet use.

resultsNetwork analysis revealed that CESD3 "Felt depressed" was the central symptom of the depression network in both waves. No significant differences in network structure were observed, but significant differences in global strength and edge strength were found. Furthermore, Internet use showed a more complex association with depressive symptoms among middle-aged and older adults in wave 2.

conclusionThis study provides novel insights into the central features of depressive symptoms among middle-aged and older adults before and after the COVID-19 outbreak. Targeting interventions to central symptoms and strong edges may have significant implications for depression treatment. In addition, strategies aimed at enhancing Internet use guidance could potentially benefit the mental health of middle-aged and older adults.

Indexed as

COVID-19DepressionInternet UseAgedChinaCross-Sectional StudiesFemaleHumansLongitudinal StudiesMaleMiddle AgedSARS-CoV-2COVID-19Depressive symptomsInternet useMiddle-aged and older adultsNetwork analysis

Identifiers

PMID40676656
PMCPMC12273029

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.